Post
by Werner » Wed Oct 09, 2019 3:04 pm
Hi Daniel,
I played too a few games with JH Net and Scorpio 3.02 with wdl_head 1:
Komodo 13.1 x64 1CPU reached 45% in 33 games (-35 Points). Against the Maddex Net I have had 58,8% for Komodo and against LCZero 0.21.2 Cuda (42668) Komodo reached 45% in 100 games. So maybe it works here, but I am not sure.
When I try to analyze your game posted here against 32930 I get more ore less higher evals in the same depth and sometimes other moves e.g.
18...Nc6-e5 0.36/70 instead of ..Rc8 0.33/70
19... Qh6 0.74/71 instead of ...Qh6 0.46/71
(About 3 different moves till move 29)
Here is my Output with Version 3.03:
feature done=0
Number of cores 4 of 4
ht 4194304 X 16 = 64.0 MB
eht 524288 X 8 = 8.0 MB
pht 32768 X 24 = 0.8 MB
treeht 41943040 X 320 = 12800.0 MB
processors [64]
EgbbProbe 4.3 by Daniel Shawul
egbb_cache 4084 X 8216 = 32.0 MB
180 egbbs loaded !
nn_cache 131072 X 1568 = 196.0 MB
Loading neural network : c:\Users\6600K\Arena\Engines\Scorpio302\Scorpio-14-02\nets-lczero\J13B.2-200.uff
With "INT8" precision
Loading graph on /gpu:0
Deserialize required 2181105 microseconds.
0. main_input 7168 = 112 8 8
1. value_head 3 = 3 1 1
2. policy_head 1858 = 1858 1 1
Neural network loaded !
loading_time = 3s
# rnbqkbnr/pppppppp/8/8/8/8/PPPPPPPP/RNBQKBNR w KQkq - 0 1
# [st = 10835ms, mt = 29250ms , hply = 0 , moves_left 10]
63 26 110 1948 d2-d4 Ng8-f6 c2-c4 e7-e6 g2-g3 Bf8-b4 Bc1-d2 Bb4-e7 Bf1-g2 d7-d5 Ng1-f3
64 28 221 4151 d2-d4 Ng8-f6 c2-c4 e7-e6 g2-g3 Bf8-b4 Bc1-d2 Bb4-e7 Bf1-g2 d7-d5 Ng1-f3 Ke8-g8
65 30 334 6536 d2-d4 Ng8-f6 c2-c4 e7-e6 g2-g3 Bf8-b4 Bc1-d2 Bb4-e7 Bf1-g2 d7-d5 Ng1-f3 Ke8-g8 Ke1-g1
66 31 445 8931 d2-d4 Ng8-f6 c2-c4 e7-e6 g2-g3 Bf8-b4 Bc1-d2 Bb4-e7 Bf1-g2 d7-d5 Ng1-f3 Ke8-g8 Ke1-g1 c7-c6
67 31 557 11490 d2-d4 Ng8-f6 c2-c4 e7-e6 g2-g3 Bf8-b4 Bc1-d2 Bb4-e7 Bf1-g2 d7-d5 Ng1-f3 Ke8-g8 Ke1-g1 c7-c6 Qd1-c2 Nb8-d7
68 32 670 14019 d2-d4 Ng8-f6 c2-c4 e7-e6 g2-g3 Bf8-b4 Bc1-d2 Bb4-e7 Bf1-g2 d7-d5 Ng1-f3 Ke8-g8 Ke1-g1 c7-c6 Qd1-c2 Nb8-d7 Rf1-d1
69 32 785 16678 d2-d4 Ng8-f6 c2-c4 e7-e6 g2-g3 Bf8-b4 Bc1-d2 Bb4-e7 Bf1-g2 d7-d5 Ng1-f3 Ke8-g8 Ke1-g1 c7-c6 Qd1-c2 Nb8-d7 Rf1-d1 b7-b6
70 32 895 19202 d2-d4 Ng8-f6 c2-c4 e7-e6 g2-g3 d7-d5 Bf1-g2 Bf8-b4 Bc1-d2 Bb4-e7 Ng1-f3 Ke8-g8 Ke1-g1 c7-c6 Qd1-c2 Nb8-d7
71 33 998 21542 d2-d4 Ng8-f6 c2-c4 e7-e6 g2-g3 d7-d5 Bf1-g2 Bf8-b4 Bc1-d2 Bb4-e7 Ng1-f3 Ke8-g8 Ke1-g1 c7-c6 Qd1-c2 Nb8-d7 Rf1-d1
# Move Value=(V,P,V+P) Policy Visits PV
# ----------------------------------------------------------------------------------
# 1 (0.551,0.532,0.541) 18.50 7206 e2-e4 e7-e5 Ng1-f3 Nb8-c6 Bf1-b5 Ng8-f6 Ke1-g1 Nf6xe4 d2-d4 Ne4-d6 Bb5xc6 d7xc6 d4xe5 Nd6-f5 Qd1xd8 Ke8xd8 h2-h3 Bf8-e7 Nb1-c3 h7-h5 Bc1-f4 Kd8-e8 Ra1-d1
# 2 (0.553,0.532,0.542) 17.16 9840 d2-d4 Ng8-f6 c2-c4 e7-e6 g2-g3 d7-d5 Bf1-g2 Bf8-b4 Bc1-d2 Bb4-e7 Ng1-f3 Ke8-g8 Ke1-g1 c7-c6 Qd1-c2 Nb8-d7 Rf1-d1
# 3 (0.541,0.532,0.536) 8.85 1191 Ng1-f3 d7-d5 d2-d4 Ng8-f6 c2-c4 e7-e6 g2-g3 Bf8-b4 Bc1-d2 Bb4-e7 Bf1-g2 Ke8-g8 Ke1-g1 c7-c6 Qd1-c2 Nb8-d7
# 4 (0.545,0.532,0.538) 8.25 1286 c2-c4 e7-e5 g2-g3 Ng8-f6 Bf1-g2 Bf8-c5 d2-d3 Nb8-c6 Nb1-c3 Ke8-g8 a2-a3 a7-a5 e2-e3 Bc5-a7 Ra1-b1 h7-h6 b2-b4 a5xb4 a3xb4 d7-d6
# 5 (0.537,0.532,0.534) 5.60 552 e2-e3 Ng8-f6 Ng1-f3 c7-c5 d2-d4 d7-d5 Bf1-e2 Nb8-c6 c2-c4 d5xc4 Be2xc4
# 6 (0.526,0.532,0.526) 5.01 324 g2-g3 d7-d5 Ng1-f3 c7-c5 Bf1-g2 e7-e6 Ke1-g1 Ng8-f6 c2-c4 d5-d4 d2-d3 Nb8-c6 e2-e3
# 7 (0.531,0.532,0.531) 3.68 278 c2-c3 Ng8-f6 d2-d4 d7-d5 Ng1-f3 e7-e6 Bc1-f4 Bf8-d6 e2-e3 c7-c5 Bf4-g3 Ke8-g8
# 8 (0.520,0.532,0.520) 3.25 171 Nb1-c3 d7-d5 d2-d4 Ng8-f6 Bc1-f4 a7-a6 e2-e3 e7-e6 g2-g4 Bf8-b4 Ng1-e2 Ke8-g8 a2-a3 Bb4-a5
# 9 (0.507,0.532,0.507) 3.10 119 d2-d3 d7-d5 Ng1-f3 Ng8-f6 g2-g3 Nb8-c6 d3-d4 Bc8-f5 Bf1-g2 e7-e6 Ke1-g1 Bf8-e7 c2-c4 Ke8-g8
# 10 (0.503,0.532,0.503) 3.09 110 b2-b3 e7-e5 Bc1-b2 Nb8-c6 e2-e3 Ng8-f6 Ng1-f3 e5-e4 Nf3-d4 Bf8-c5 d2-d3 Nc6xd4 e3xd4 Bc5-b4 c2-c3 Bb4-e7 d3xe4 Nf6xe4 Bf1-d3 d7-d5 Nb1-d2 Ne4xd2 Qd1xd2
# 11 (0.506,0.532,0.506) 3.05 115 a2-a3 d7-d5 d2-d4 Ng8-f6 e2-e3 Bc8-f5 c2-c4 e7-e6 Qd1-b3
# 12 (0.486,0.532,0.486) 2.95 80 a2-a4 Ng8-f6 Ng1-f3 c7-c5 e2-e3 Nb8-c6 d2-d4 d7-d5 c2-c3
# 13 (0.490,0.532,0.490) 2.69 76 h2-h3 e7-e5 e2-e4 Ng8-f6 Nb1-c3 Bf8-b4 a2-a3 Bb4-a5 Ng1-f3 Ke8-g8 Bf1-c4
# 14 (0.443,0.532,0.443) 2.68 45 f2-f4 d7-d5 Ng1-f3 c7-c5 e2-e3 Ng8-f6 Bf1-b5 Bc8-d7 Qd1-e2
# 15 (0.462,0.532,0.462) 2.31 45 b2-b4 e7-e5 Bc1-b2 Bf8xb4 Bb2xe5 Ng8-f6 Ng1-f3 Ke8-g8 c2-c4 d7-d5
# 16 (0.436,0.532,0.436) 2.11 32 Nb1-a3 e7-e5 Na3-c4 Nb8-c6 e2-e4 d7-d5 e4xd5 Qd8xd5 Nc4-e3
# 17 (0.417,0.532,0.417) 2.09 27 Ng1-h3 d7-d5 g2-g3 c7-c5 Bf1-g2 Nb8-c6 d2-d3
# 18 (0.379,0.532,0.379) 2.01 20 f2-f3 e7-e5 e2-e4 Nb8-c6 Nb1-c3 Bf8-c5 f3-f4
# 19 (0.425,0.532,0.425) 2.00 27 h2-h4 e7-e5 c2-c4 Ng8-f6 g2-g3 Bf8-c5 Ng1-f3 e5-e4 d2-d4 Bc5-b4 Bc1-d2
# 20 (0.271,0.532,0.271) 1.62 10 g2-g4 d7-d5 h2-h3 h7-h5 g4xh5 e7-e5 d2-d3 Nb8-c6
# nodes = 215738 <0% qnodes> time = 10263ms nps = 21020 eps = 0 nneps = 2123
# Tree: nodes = 28267 depth = 29 pps = 2113 visits = 21555
# qsearch_calls = 0 search_calls = 0
move d2d4
I have made a new .trt file - and it was different to that of Version 3.0.2 with wdl_head 1 (do the other new Settings make the difference or is this file every time different ??
PS. do you think Scorpio works on Windows 7 too ?
best wishes
Werner
Werner